Jiangchao Yao

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Publications

[* indicates the equal contribution, † indicates the corresponding author]

Book Chapters

  1. Graph Neural Networks in Modern Recommender Systems
    Yunfei Chu, Jiangchao Yao, Chang Zhou, Hongxia Yang.
    Graph Neural Networks: Foundations, Frontiers, and Applications. Springer.

Conference Papers

  1. MVTexGen: Synthesising 3D Textures with Using Multi-View Diffusion
    Jinyi Wang, Ben Fei, Huangjie Zheng, Jiangchao Yao†, Ya Zhang, Yanfeng Wang†.
    IEEE Conference on Multimedia Expo (ICME'24)

  2. Low-Rank Knowledge Decomposition for Medical Foundation Models
    Yuhang Zhou, Haolin li, Siyuan Du, Jiangchao Yao†, Ya Zhang, Yanfeng Wang†.
    International Conference on Computer Vision and Pattern Recognition (CVPR'24)

  3. Mitigating Noisy Correspondence by Geometrical Structure Consistency Learning
    Zihua Zhao, Mengxi Chen, Tianjie Dai, Jiangchao Yao†, Bo Han, Ya Zhang, Yanfeng Wang†.
    International Conference on Computer Vision and Pattern Recognition (CVPR'24)

  4. Enhancing Cross-domain Click-through Rate Prediction via Explicit Feature Augmentation
    Xu Chen, Zida Cheng, Jiangchao Yao, Chen Ju, Weilin Huang, Jinsong Lan, Xiaoyi Zeng, Shuai Xiao.
    The Web Conference (WWW'24)

  5. On Harmonizing Implicit Subpopulations
    Feng Hong, Jiangchao Yao†, Yueming Lyu, Zhihan Zhou, Ivor Tsang, Ya Zhang, Yanfeng Wang†.
    International Conference on Learning Representation (ICLR'24)

  6. Neural Atoms: Propagating Long-range Interaction in Molecular Graphs through Efficient Communication Channel
    Xuan Li, Zhanke Zhou, Jiangchao Yao, Yu Rong, Lu Zhang, Bo Han.
    International Conference on Learning Representation (ICLR'24)

  7. Less is More: One-shot Link Prediction on Large-scale Knowledge Graphs
    Zhanke Zhou, Yongqi Zhang, Jiangchao Yao, Quanming Yao, Bo Han.
    International Conference on Learning Representation (ICLR'24)

  8. Long-tailed Diffusion Models with Oriented Calibration
    Tianjiao Zhang, Huangjie Zheng, Jiangchao Yao, Xiangfeng Wang, Mingyuan Zhou, Ya Zhang, Yanfeng Wang.
    International Conference on Learning Representation (ICLR'24)

  9. Domain-Inspired Sharpness-Aware Minimization under Domain Shifts
    Ruipeng Zhang, Ziqing Fan, Jiangchao Yao†, Ya Zhang, Yanfeng Wang†.
    International Conference on Learning Representation (ICLR'24)

  10. Pre-Post Interaction Learning for Brain Tumor Segmentation with Missing MRI Modalities
    Linyu Xing, Mengxi Chen, Jiangchao Yao, Ya Zhang, Yanfeng Wang.
    International Conference on Acoustics, Speech and Signal Processing (ICASSP'24)

  11. Combating Representation Learning Disparity with Geometric Harmonization
    Zhihan Zhou, Jiangchao Yao†, Feng Hong, Ya Zhang, Bo Han, Yanfeng Wang†.
    Advances on Neural Information Processing Systems (NeurIPS'23) [Spotlight]

  12. Federated Learning with Bilateral Curation for Partially Class-Disjoint Data
    Ziqing Fan, Ruipeng Zhang, Jiangchao Yao, Bo Han, Ya Zhang, Yanfeng Wang.
    Advances on Neural Information Processing Systems (NeurIPS'23)

  13. Combating Bilateral Edge Noise for Robust Link Prediction
    Zhanke Zhou, Jiangchao Yao†, Jiaxu Liu, Xiawei Guo, Quanming Yao, Li He, Liang Wang, Bo Zheng, Bo Han†.
    Advances on Neural Information Processing Systems (NeurIPS'23)

  14. Uncovering Prototypical Knowledge for Weakly Open-Vocabulary Semantic Segmentation
    Fei Zhang, Tianfei Zhou, Boyang Li, Hao He, Chaofan Ma, Tianjiao Zhang, Jiangchao Yao†, Ya Zhang, Yanfeng Wang.
    Advances on Neural Information Processing Systems (NeurIPS'23)

  15. Diversified Outlier Exposure for Out-of-Distribution Detection via Informative Extrapolation
    Jianing Zhu, Geng Yu, Jiangchao Yao, Tongliang Liu, Gang Niu, Masashi Sugiyama, Bo Han.
    Advances on Neural Information Processing Systems (NeurIPS'23)

  16. Zero-shot Composed Text-Image Retrieval
    Yikun Liu, Jiangchao Yao, Yanfeng Wang, Ya Zhang, Weidi Xie.
    British Machine Vision Conference (BMVC'23)

  17. GRACE: Enhancing Federated Learning for Medical Imaging with Generalized and Personalized Gradient Correction
    Ruipeng Zhang, Ziqing Fan, Qinwei Xu, Jiangchao Yao†, Ya Zhang, Yanfeng Wang†.
    International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI'23)

  18. On Strengthening and Defending Graph Reconstruction Attack with Markov Chain Approximation
    Zhanke Zhou, Chenyu Zhou, Xuan Li, Jiangchao Yao†, Quanming Yao, Bo Han†.
    International Conference on Machine Learning (ICML'23)

  19. Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection Capability
    Jianing Zhu, Hengzhuang Li, Jiangchao Yao†, Tongliang Liu, Jianliang Xu, Bo Han†.
    International Conference on Machine Learning (ICML'23)

  20. Exploring Model Dynamics for Accumulative Poisoning Discovery
    Jianing Zhu, Xiawei Guo, Jiangchao Yao†, Chao Du, Li He, Shuo Yuan, Tongliang Liu, Liang Wang, Bo Han†.
    International Conference on Machine Learning (ICML'23)

  21. Federated Domain Generalization with Generalization Adjustment
    Ruipeng Zhang, Qinwei Xu, Jiangchao Yao, Ya Zhang, Qi Tian, Yanfeng Wang.
    International Conference on Computer Vision and Pattern Recognition (CVPR'23)

  22. Class-Balancing Diffusion Models
    Yiming Qin, Huangjie Zheng, Jiangchao Yao†, Mingyuan Zhou, Ya Zhang.
    International Conference on Computer Vision and Pattern Recognition (CVPR'23)

  23. Combating Exacerbated Heterogeneity for Robust Models in Federated Learning
    Jianing Zhu, Jiangchao Yao†, Tongliang Liu, Quanming Yao, Jianliang Xu, Bo Han†.
    International Conference on Learning Representation (ICLR'23)

  24. Long-tailed Partial Label Learning via Dynamic Rebalancing
    Feng Hong, Jiangchao Yao†, Zhihan Zhou, Ya Zhang, Yanfeng Wang†.
    International Conference on Learning Representation (ICLR'23)

  25. NAS-LID: Efficient Neural Architecture Search with Local Intrinsic Dimension
    Xin He, Jiangchao Yao, Yuxin Wang, Zhenheng Tang, Ka Chu Cheung, Simon See, Bo Han, Xiaowen Chu.
    AAAI Conference on Artificial Intelligence (AAAI'23)

  26. FedSkip: Combating Statistical Heterogeneity with Federated Skip Aggregation
    Ziqing Fan, Yanfeng Wang†, Jiangchao Yao†, Lingjuan Lyu, Ya Zhang, Qi Tian.
    International Conference on Data Mining (ICDM'22)

  27. Contrastive Learning with Boosted Memorization
    Zhihan Zhou, Jiangchao Yao†, Yanfeng Wang†, Bo Han, Ya Zhang.
    International Conference on Machine Learning (ICML'22)

  28. Device-Cloud Collaborative Recommendation via Meta Controller
    Jiangchao Yao, Feng Wang, Xichen Ding, Shaohu Chen, Bo Han, Jingren Zhou, Hongxia Yang.
    ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD'22)

  29. PEAR: Photographic Embedding for Aesthetic Rating
    Hao Wu, Jiangchao Yao.
    International Conference on Acoustics, Speech and Signal Processing (ICASSP'22)

  30. Reliable Adversarial Distillation with Unreliable Teachers
    Jianing Zhu, Jiangchao Yao, Bo Han, Jingfeng Zhang, Tongliang Liu, Gang Niu, Jingren Zhou, Jianliang Xu, Hongxia Yang.
    International Conference on Learning Representation (ICLR'22)

  31. Sparse-Interest Network for Sequential Recommendation
    Qiaoyu Tan, Jianwei Zhang, Jiangchao Yao, Ninghao Liu, Jingren Zhou, Hongxia Yang, Xia Hu.
    International Conference on Web Search and Data Mining (WSDM'21)

  32. Device-Cloud Collaborative Learning for Recommendation
    Jiangchao Yao*, Feng Wang*, Kunyang Jia*, Bo Han, Jingren Zhou, Hongxia Yang.
    ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD'21)

  33. Cooperative Learning for Noisy Supervision
    Hao Wu, Jiangchao Yao, Ya Zhang, Yanfeng Wang.
    International Conference on Multimedia and Expo (ICME'21)

  34. Learning with Group Noise
    Qizhou Wang*, Jiangchao Yao*, Chen Gong, Tongliang Liu, Mingming Gong, Hongxia Yang, Bo Han.
    AAAI Conference on Artificial Intelligence (AAAI'21)

  35. Bayes EMbedding (BEM) Refining Representation by Integrating Knowledge Graphs and Behavior-specific Networks
    Yuting Ye, Xuwu Wang, Jiangchao Yao, Kunyang Jia, Jingren Zhou, Yanghua Xiao, Hongxia Yang.
    International Conference on Information and Knowledge Management (CIKM'19)

  36. Collaborative Label Correction via Entropy Thresholding
    Hao Wu, Jiangchao Yao, Jiajie Wang, Yinru Chen, Ya Zhang, Yanfeng Wang.
    International Conference on Data Mining (ICDM'19)

  37. How Does Disagreement Help Generalization against Label Corruption?
    Xingrui Yu, Bo Han, Jiangchao Yao, Gang Niu, Ivor W. Tsang, Masashi Sugiyama
    International Conference on Machine Learning (ICML'19)

  38. Understanding Vaes in Fisher-Shannon Plane
    Huangjie Zheng, Jiangchao Yao, Ya Zhang, Ivor W. Tsang, and Jia Wang.
    AAAI Conference on Artificial Intelligence (AAAI'19)

  39. Safeguarded Dynamic Label Regression for Noisy Supervision
    Jiangchao Yao, Hao Wu, Ya Zhang, Ivor W. Tsang, and Jun Sun.
    AAAI Conference on Artificial Intelligence (AAAI'19)

  40. Collaborative Learning for Weakly Supervised Object Detection
    Jiajie Wang, Jiangchao Yao, Ya Zhang, and Rui Zhang.
    International Joint Conference on Artificial Intelligence (IJCAI'18)

  41. Masking: A New Perspective of Noisy Supervision
    Bo Han*, Jiangchao Yao*, Gang Niu, Mingyuan Zhou, Ivor W. Tsang, Ya Zhang, and Masashi Sugiyama.
    Advances on Neural Information Processing Systems (NeurIPS'18)

  42. Describing Geographical Characteristics with Social Images
    Huangjie Zheng, Jiangchao Yao, Ya Zhang.
    International Conference on Multimedia Modeling (MMM'17)

  43. Discovering User Interests from Social Images
    Jiangchao Yao, Ya Zhang, Ivo W. Tsang, Jun Sun.
    International Conference on Multimedia Modeling (MMM'17)

  44. Preference-Aware Recommendation Based on Categorical Information
    Zhiwei Rao, Jiangchao Yao, Ya Zhang, Rui Zhang.
    International Conference on Machine Learning and Applications (ICMLA'16)

  45. Online Learning Algorithm for Collective LDA
    Xiaoyu Chen, Jiangchao Yao, Yanfeng Wang, Ya Zhang.
    International Conference on Machine Learning and Applications (ICMLA'15)

  46. Joint Latent Dirichlet Allocation for Non-IID Social Tags
    Jiangchao Yao, Ya Zhang, Zhe Xu, Jun Sun, Jun Zhou, Xiao Gu.
    International Conference on Multimedia and Expo (ICME'15)

Journal Articles

  1. UniChest: Conquer-and-Divide Pre-training for Multi-Source Chest X-Ray Classification
    Tianjie Dai, Ruipeng Zhang, Feng Hong, Jiangchao Yao†, Ya Zhang, Yanfeng Wang†.
    IEEE Transactions on Medical Imaging (TMI 2024)

  2. Federated Learning under Partially Class-Disjoint Data via Manifold Reshaping
    Ziqing Fan, Jiangchao Yao†, Ruipeng Zhang, Lingjuan Lyu, Ya Zhang, Yanfeng Wang†.
    Transactions on Machine Learning Research (TMLR 2023)

  3. Contrastive Attraction and Contrastive Repulsion for Representation Learning
    Huangjie Zheng, Xu Chen, Jiangchao Yao, Hongxia Yang, Chunyuan Li, Ya Zhang, Hao Zhang, Ivor W. Tsang, Jingren Zhou, Mingyuan Zhou
    Transactions on Machine Learning Research (TMLR 2023)

  4. Causal Distillation for Alleviating Performance Heterogeneity in Recommender Systems
    Shengyu Zhang, Ziqi Jiang, Jiangchao Yao, Fuli Feng, Kun Kuang, Zhou Zhao, Shuo Li, Hongxia Yang, Tat-seng Chua, Fei Wu.
    IEEE Transactions on Knowledge and Data Engineering (TKDE 2023)

  5. Server-Client Collaborative Distillation for Federated Reinforcement Learning
    Weiming Mai, Jiangchao Yao†, Chen Gong, Ya Zhang, Yiu-Ming Cheung, Bo Han†.
    ACM Transactions on Knowledge Discovery from Data (TKDD 2023).

  6. Latent Class-Conditional Noise Model
    Jiangchao Yao, Bo Han, Zhihan Zhou, Ya Zhang, Ivor W. Tsang.
    IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI 2023)

  7. Edge-Cloud Polarization and Collaboration: A Comprehensive Survey for AI
    Jiangchao Yao, Shengyu Zhang, Yang Yao, Feng Wang, Jianxin Ma, Jianwei Zhang, Yunfei Chu, Luo Ji, Kunyang Jia, Tao Shen, Anpeng Wu, Fengda Zhang, Ziqi Tan, Kun Kuang, Chao Wu, Fei Wu, Jingren Zhou, Hongxia Yang.
    IEEE Transactions on Knowledge and Data Engineering (TKDE 2022) [ESI highly cited]

  8. CogKR: Cognitive Graph for Multi-hop Knowledge Reasoning
    Zhengxiao Du, Chang Zhou, Jiangchao Yao, Teng Tu, Leitian Cheng, Hongxia Yang, Jingren Zhou, Jie Tang.
    IEEE Transactions on Knowledge and Data Engineering (TKDE 2021)

  9. Learning on Attribute-Missing Graphs
    Xu Chen, Siheng Chen, Jiangchao Yao, Huangjie Zheng, Ya Zhang, and Ivor W. Tsang.
    IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI 2020).

  10. Decoupled Variational Embedding for Signed Directed Networks
    Xu Chen, Jiangchao Yao, Maosen Li, Ya Zhang, and Yanfeng Wang.
    ACM Transactions on the Web (TWEB) 15, no. 1 (2020): 1-31.

  11. Deep Learning from Noisy Labels with Quality Embedding
    Jiangchao Yao, Jiajie Wang, Ivor W. Tsang, Ya Zhang, Jun Sun, Chengqi Zhang, and Rui Zhang.
    IEEE Transactions on Image Processing (TIP) 28.4 (2019): 1909-1922.

  12. Joint Latent Dirichlet Allocation for Social Tags
    Jiangchao Yao, Yanfeng Wang, Ya Zhang, Jun Sun, and Jun Zhou.
    IEEE Transactions on Multimedia (TMM) 20.1 (2018): 224-237.